11563 research outputs found
Sort by
C2 Product Selectivity by 2D-nanosheet of Layered Zn-doped Cu2(OH)3(NO3)-A Pre-catalyst for Electrochemical CO2 Reduction
No full textThe natural carbon cycle cannot mitigate and recycle the excess CO2 in the atmosphere, leading to a continuous rise in the global temperature. Electrochemical conversion of CO2 is one of the useful methods to utilise this anthropogenic CO2 and convert it into value-added chemicals. However, this process suffers the challenges of product selectivity and good Faradaic efficiency. In our current work, we report the role of Zn-doping in the 2D-Nanosheet of Cu2(OH)3(NO3)-a pre-catalyst that undergoes the in-situ transformation into a metallic state along with surface reconstruction. Our studies show, in the aqueous medium, the optimum amount of Zn plays a crucial role in the production of ethanol with the Faradaic efficiency of ∼45.2 % though C−C coupling. Temperature-programmed desorption studies conclude that Zn increases the product selectivity for CO adsorption on Cu2(OH)3(NO3) nanosheets, further facilitating the C−C coupling at higher negative potential. The detailed XPS studies also reveal that the in-situ conversion of Cu2+ to Cu0 and Cu+ at negative potential contributes to the production of C2 products. The post-catalytic microstructural and spectroscopic studies converge to this point that the cumulative effect of oxidation state, surface reconstruction, as well as the presence of Zn modulate the overall Faradaic efficiency for ethanol formation
Assessment of peltier-enhanced immersion flow cooling impact on battery c-rate operations
No full textTensor tomography using V-line transforms with vertices restricted to a circle
No full textIn this article, we study the problem of recovering symmetric m-tensor fields (including vector fields) supported in a unit disk D from a set of generalized V-line transforms, namely longitudinal, transverse, and mixed V-line transforms, and their integral moments. We work in a circular geometric setup, where the V-lines have vertices on a circle, and the axis of symmetry is orthogonal to the circle. We present two approaches to recover a symmetric m-tensor field from the combination of longitudinal, transverse, and mixed V-line transforms. With the help of these inversion results, we are able to give an explicit kernel description for these transforms. We also derive inversion algorithms to reconstruct a symmetric m-tensor field from its first (m+1) integral moment longitudinal/transverse V-line transforms
Ionic Liquid Assisted Exfoliation of Layered Magnesium Diboride
No full textThe discovery of graphene showcased anability to isolate atomic thin sheet from layered graphite, and presented a precedent to the scientific community for exploring a similar possibility in other layered materials. Magnesium diboride (MgB2), which has metal atoms sandwiched in between boron honeycomb planes, represents an ionic layered material isostructural to intercalated graphite. We show that ultrasonication of MgB(2)in ionic liquid (1-butyl-3-methyl imidazolium tetrafluoroborate) results in a stable dispersion of few-layer-thick boron based nanosheets. Furthermore, these nanosheets (similar to 3-6 mu m wide, similar to 2 nm thick) are found to exhibit an optical band-gap of similar to 3.3eV alongwith excitation wavelength dependent photoluminescence
Using Google ‘Read Along’ Mobile Application in Classrooms to Develop Hindi Language Skills in Young Readers
No full textThe Annual Status of Education Report (ASER) 2023 reveals that 26.5% students in the age group of 14–18 years in rural India are unable to read a class 2-level textbook in their regional language and 42.7% could not read sentences in English. Even among those who could read, 26.5% did not comprehend it. It also found that 89% of these students have a smartphone and 92% know how to use one [1]. There have been several technology-based attempts to address this foundational reading challenge through the increased access and exposure to smartphones. This research was conducted to study the effectiveness of one such mobile application called ‘Read Along’ by Google as a tool for teachers to develop Hindi reading skills among students in the age group of 5–10 years. 36 classroom activities around the App. Were conducted with one Government school’s Hindi language teacher and 25 students in Jhunjhunu, Rajasthan from November 2019 to February 2020. Endline assessment using the ASER reading tool showed a two-level improvement in one student and a one-level improvement in 7 students after using the app for three months. The App. Usage declined for students who were in the ‘story+’ level in the baseline because it became repetitive and monotonous. The teacher played an important role in facilitating learning through the app. With its usage declining during winter break when no inputs were provided by the teacher and no activities were conducted using the app
